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Testing Whether a Set of Code Words Satisfies a Given Set of Constraints

机译:测试一组代码字是否满足给定的约束

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This paper investigates the problem of testing whether a set of code words satisfies certain biologically motivated Hamming distance constraints. The paper provides three efficient techniques to verify the code words, namely, the Enumeration, Table Lookup, and Encoding methods, with applications to the design of DNA words. The Enumeration method enumerates all combinations of positions in a word, so that all the words in a set can be compared simultaneously and the testing process is improved. The Table Lookup method constructs a data table and divide each word into sub-words to reduce the time complexity of the testing process. The Encoding method which is similar to Table Lookup method uses a linked list to store necessary information in addition. The proposed methods run in O(n) ~ O(log log n) times faster than the naive method when e = O(log n), where n is the number of code words in a set and e is the length of a word.
机译:本文研究了测试一组代码字是否满足某些生物学动机的汉明距离约束的问题。本文提供了三种有效的技术来验证代码字,即枚举,表查找和编码方法,并将其应用于DNA字的设计。枚举方法枚举单词中所有位置的组合,从而可以同时比较集合中的所有单词,从而改善了测试过程。 Table Lookup方法构造了一个数据表,并将每个单词划分为多个子单词,以降低测试过程的时间复杂度。与“表查找”方法类似的“编码”方法还使用链接列表来存储必要的信息。当e = O(log n)时,所提方法的运行速度比朴素方法快O(n)〜O(log log n),其中n是集合中代码字的数量,e是单词的长度。

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